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Erschienen in:
2006 | OriginalPaper | Buchkapitel
On Statistical Testing of Random Numbers Generators
verfasst von : F. El Haje, Y. Golubev, P. -Y. Liardet, Y. Teglia
Erschienen in: Security and Cryptography for Networks
Verlag: Springer Berlin Heidelberg
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Maurer’s test is nowadays a basic statistical tool for testing physical random number generators in cryptographic applications. Based on a statistical analysis of this test we propose simple and effective methods for its improvement. These methods are related to the
m
– spacing technique common in goodness-of-fit problems and the
L
– leave out method used for a noise reduction in the final Maurer test statistic. We also show that the spacing distribution test represents a serious competitor for Maurer’s test in the case when the random number generator is governed by a Markov chain with a long memory.